MCP.Market

Penfield Memory MCP server

online · 100% uptime
by penfieldlabs·io.github.penfieldlabs/penfield-mcp·v1.22.0·6 stars

Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.

B83/100grade B
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B83/100

full report

Adoption
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6 stars

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Penfield Memory tools

Tool list not cached yet. `describe` through the gateway fetches it live.

Public scan report

scanner v0.1.10 · 2026-09-28 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 327ms (auth required)20/20
  • –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
  • Auth qualityOAuth resource metadata advertised on 40115/15
  • Maintenancelast push 177 days ago8/15
  • Maintainer identityregistry namespace matches repository owner7/10
Overall 83/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Penfield Memory compares

Against every graded Web search MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
83/100
higher than 70% of 3,470 Web search servers
Uptime
100%
of our recent checks; the typical remote Web search server answers 100%
Response time
204 ms
faster than 67% of 2,238 Web search servers
GitHub stars
6
more than 81% of 1,786 Web search servers

Install Penfield Memory in Claude Code, Cursor or VS Code

claude mcp add --transport http penfield-mcp https://mcp.penfield.app/
Add to Cursor

What the publisher says

From the Penfield Memory repository's README, as published. We do not edit it. Read it on GitHub

Penfield

Persistent memory for AI agents. Store decisions, preferences, and context that survive across sessions. Build knowledge graphs that compound over time. Works with Claude, Cursor, Windsurf, Gemini CLI, and any MCP-compatible tool.

Quick Start

Claude (Desktop, Mobile, Web)

Add as a custom connector in Settings → Connectors:

Name: Penfield
Remote MCP server URL: https://mcp.penfield.app

Claude Code

claude mcp add --transport http --scope user penfield https://mcp.penfield.app

Cursor

One-click install:

Install Penfield in Cursor

Cut and paste into your browser:

cursor://anysphere.cursor-deeplink/mcp/install?name=Penfield&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsIm1jcC1yZW1vdGUiLCJodHRwczovL21jcC5wZW5maWVsZC5hcHAvIl19

Or add manually to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "Penfield": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.penfield.app/"]
    }
  }
}

Windsurf, Cline, Roo Code, and Others

Add to your MCP configuration file:

{
  "mcpServers": {
    "Penfield": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.penfield.app/"]
    }
  }
}

Gemini CLI

gemini mcp add penfield -- npx -y mcp-remote https://mcp.penfield.app/

Or add to ~/.gemini/settings.json:

{
  "mcpServers": {
    "Penfield": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.penfield.app/"]
    }
  }
}

What You Get

17 tools for persistent memory:

Hybrid search combining BM25 (keyword), vector (semantic), and graph (connections) for recall that actually finds what you need.

Cross-platform sync — same memory, same knowledge graph, regardless of which tool you connect from.

How It Works

  1. Sign up at portal.penfield.app/sign-up
  2. Connect using one of the methods above
  3. Authenticate when prompted (OAuth flow)
  4. Start using — your agent now has persistent memory

Every session should start with:

awaken()     # Load identity and personality context
reflect()    # Orient on recent work (default: last 7 days)

Without these, your agent starts cold with no context.

Documentation

  • Tools Reference — All 17 tools with parameters and examples
  • Memory Types — The 11 memory types and when to use each
  • Relationships — The 24 relationship types for connecting memories
  • AI Agent Guide — Instructions for AI agents using Penfield

Use Cases

Personal assistant that remembers

  • Your preferences compound over time
  • Picks up conversations where you left off
  • Learns how you like things done

Development workflows

  • Track investigation threads across sessions
  • Remember architectural decisions and why they were made
  • Hand off context between coding sessions

Research and writing

  • Build knowledge graphs of connected ideas
  • Store insights and corrections as understanding evolves
  • Checkpoint progress on long-running projects

Also Available

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Penfield Memory: common questions

Is Penfield Memory MCP server safe?
Mostly: it is graded B (83/100). Read the Penfield Memory safety report
How do I install Penfield Memory?
It runs remotely at mcp.penfield.app. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Penfield Memory need an API key?
No key to paste: it signs you in with OAuth when your client connects.
Is Penfield Memory maintained?
The last commit was 214 days ago (2026-04-04). The latest release is v1.22.0.
Is Penfield Memory up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of Penfield Memory?
Servers from other publishers that do the same job: Shodh Memory MCP server, Reverie MCP server and Octobrain MCP server.
How does Penfield Memory compare with other Web search MCP servers?
safety score 83/100 (higher than 70% of 3,470 Web search servers); uptime 100% (of our recent checks; the typical remote Web search server answers 100%); response time 204 ms (faster than 67% of 2,238 Web search servers). Full comparison.

Alternatives to Penfield Memory

Same job from other publishers: the closest match first, then the best rated.

  • Shodh Memory
    Cognitive memory for AI agents — semantic search, Hebbian learning, knowledge graphs.
    C
  • Reverie
    Graph memory that dreams: Neo4j knowledge-graph memory for AI agents with hybrid search
    B
  • Octobrain
    Persistent memory for AI assistants with semantic search and knowledge graph relationships.
    A
  • DocsMint
    Cloud or self-hosted knowledge for AI agents: hybrid search, reranking, GraphRAG, scoped MCP tools.
    A
  • Link
    Local personal memory for agents as MCP tools — remember, recall, search, context, graph traversal.
    A